Lead Discovery

• Ottonomix Fit Scoring — Scores leads 0-100 on autonomy/transmission potential
• Signal Classification — Categorizes by: transmission, reprise, autonomie, gouvernance
• Urgency Prediction — Estimates window of opportunity
• Company Extraction — Identifies company names from French articles

3. Succession Prospecting Agents

Finds founder transition opportunities:

• Age Detection — Identifies founders 55+ with 10+ year tenure
• Company Profiling — Targets SAS/SARL with 20-200 employees
• Transmission Readiness — Scores preparedness for succession
• Employee Buyout Potential — Identifies SCOP candidates

4. Weekly Report Generation

AI-generated reports including:

• New high-fit prospects
• Signal summaries with Ottonomix relevance
• Recommended outreach approaches
• Auto-research integration

Ottonomix Focus Areas

This skill is specifically tuned for Ottonomix's 6 main services:

1. Autonomisation d'équipe (Team Empowerment)

"Goôte aux joies du passage en mode pilote automatique"

2. Performance client (Customer Performance)

Placing the Customer at the center of Performance

3. Décider ensemble (Deciding Together)

Towards effective collective decision-making

4. Séminaire participatif (Participative Seminar)

For pleasant and engaging moments

5. Partage de valeur (Value Sharing)

Engage and retain clients in a fair and transparent way

6. Studio de reprise (Business Transfer Studio)

For transmitting/taking over a business with complete peace of mind

Signal Categories by Service

Triggers

Manual discovery:

• "Trouve des leads Ottonomix"
• "Découvre des entreprises en transmission"
• "Cherche des SCOP candidates"
• "Analyse les flux pour cette semaine"

Automatic (weekly cron):

• Checks all configured French feeds
• Generates prospect report
• Auto-researches high-fit leads

Prerequisites

1. prospecting-db skill installed and initialized
2. company-research skill for auto-research
3. Python dependencies:

   pip install feedparser requests beautifulsoup4 python-dateutil
   

4. MongoDB running (via prospecting-db)

Configuration

Default French Feed Sources

Pre-configured with high-value French sources:

Custom Feeds

Add regional or industry-specific feeds:

python3 scripts/lead_discovery.py add-feed "CCI Lyon" "https://..." --category transmission

Usage

Manual Discovery

Check all feeds (agentic mode):

python3 scripts/lead_discovery.py check-feeds --agentic

Check specific feed:

python3 scripts/lead_discovery.py check-feeds --source "Les Echos"

Find succession candidates:

python3 scripts/lead_discovery.py find-succession --region "Île-de-France" --sector "industrie"

Find employee buyout candidates:

python3 scripts/lead_discovery.py find-buyout-candidates --region "Auvergne-Rhône-Alpes"

Scan for autonomy signals:

python3 scripts/lead_discovery.py scan-autonomy-signals --min-employees 50

View Leads

List unresearched leads:

python3 scripts/lead_discovery.py list-leads --status new

List high-fit Ottonomix prospects:

python3 scripts/lead_discovery.py list-leads --min-ottonomix-score 75

Generate weekly report:

python3 scripts/lead_discovery.py weekly-report --send

Auto-Research Integration

Research top leads automatically:

python3 scripts/lead_discovery.py auto-research --limit 5 --min-ottonomix-score 80

This will:

1. Get top unresearched leads
2. Spawn company-research sub-agents for each
3. Update lead status to "researched"
4. Link to company record
5. Generate Ottonomix-specific analysis

Output Format

Discovered Lead

{
  "company_name": "Acme SAS",
  "legal_form": "SAS",
  "source_feed": "Les Echos",
  "source_url": "https://...",
  "discovery_date": "2024-01-15T10:30:00",
  "signal_type": "founder_retirement",
  "signal_summary": "Fondateur de 62 ans cherche à transmettre son entreprise",
  "confidence": 0.88,
  "ottonomix_fit": {
    "score": 85,
    "transmission_readiness": 90,
    "autonomy_potential": 70,
    "employee_buyout_candidate": true
  },
  "status": "new",
  "auto_researched": false,
  "company_id": null
}

Weekly Report

{
  "report_date": "2024-01-15",
  "period": "2024-01-08 to 2024-01-15",
  "feeds_checked": 8,
  "new_leads": 12,
  "high_fit_leads": 5,
  "by_signal_type": {
    "transmission": 3,
    "levée_fonds": 4,
    "nomination_drh": 2,
    "reprise_salariés": 3
  },
  "by_region": {
    "Île-de-France": 5,
    "Auvergne-Rhône-Alpes": 3,
    "Nouvelle-Aquitaine": 2
  },
  "top_leads": [...],
  "recommended_actions": [
    "🎯 Priorité: Contacter TechSAS (transmission imminente)",
    "💰 Levée Series B: GrowthSARL besoin d'autonomisation d'équipe",
    "👔 Nouveau DRH chez Industrie+ (opportunité coaching)"
  ]
}

Signal Detection

Ottonomix-Specific Signals by Service

Confidence Scoring

Leads scored 0.0-1.0 based on:

Cron Setup

Automatic Weekly Discovery

Add to OpenClaw cron for Ottonomix:

# Check feeds every Monday at 9 AM
python3 scripts/lead_discovery.py check-feeds --agentic

# Auto-research high-fit leads
python3 scripts/lead_discovery.py auto-research --limit 10 --min-ottonomix-score 75

# Generate and send report
python3 scripts/lead_discovery.py weekly-report --send

Or use OpenClaw's cron tool:

cron add --name "ottonomix-weekly-leads" --schedule "0 9 * * 1" \
  --command "python3 scripts/lead_discovery.py weekly-report --send"

Integration with Company Research

When auto-research is enabled, discovered leads trigger:

1. Deep research via company-research skill
2. Ottonomix analysis for autonomy/transmission fit
3. Battlecard generation in French
4. Lead quality scoring (0-100)

Results stored in shared prospecting-db.

Database Schema

Uses prospecting-db collections:

• discovered_leads — Feed-discovered prospects
• feed_sources — Monitored feeds (French-focused)
• companies — Enriched profiles (shared)
• signals — Detected signals (Ottonomix-specific)

Extending

Add New Signal Detector

Edit signal_detector.py:

def detect_ottonomix_signal(article: Dict) -> Optional[Dict]:
    """Detect Ottonomix-specific signals."""
    text = f"{article['title']} {article['summary']}".lower()
    
    # Transmission signals
    if any(k in text for k in ['transmettre', 'cession', 'retraite']):
        return {
            "signal_type": "transmission",
            "confidence": 0.9,
            "urgency": "HIGH"
        }
    
    return None

Add French Data Source

Edit feed_monitor.py:

FRENCH_FEEDS = [
    {
        "name": "Your Feed",
        "url": "https://...",
        "category": "transmission",
        "language": "fr"
    }
]

Best Practices

1. Review weekly — Check auto-discovered leads for relevance
2. Customize feeds — Add regional CCI/CMA feeds
3. Adjust thresholds — Tune Ottonomix fit scores based on conversions
4. Track conversions — Log which leads became clients
5. Iterate — Add new signal types as you learn what works

Troubleshooting

Feed parsing errors:

• Some French sites use non-standard RSS
• Check encoding (UTF-8 vs ISO-8859-1)
• Add delays between requests

No leads discovered:

• Verify feeds are active: list-feeds
• Check confidence thresholds
• Review French keywords in signal detector

Auto-research fails:

• Ensure company-research skill is installed
• Check MongoDB connection
• Review logs for errors

Privacy & Ethics

• Only monitors public RSS feeds and news
• Respects robots.txt and rate limits
• No scraping of private data
• Compliant with GDPR for B2B prospecting
• Focus on professional context only

Version History

• v2.0 — Enhanced with Ottonomix's 6 specific services, LLM-based signal analysis, service-specific scoring
• v1.0 — Initial release for Ottonomix with French focus, transmission/reprise detection, and agentic AI